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City-level air quality improvement in the Beijing-Tianjin-Hebei region from 2016/17 to 2017/18 heating seasons: Attributions and process analysis

机译:2016/17年至2017/18升水季节北京 - 天津 - 河北地区的城市一级空气质量改善:归属和流程分析

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摘要

With the implementation of clean air strategies, PM2.5 pollution abatement has been observed in the "2 + 26" cities in the Beijing-Tianjin-Hebei (BTH) region (referred to as the BTH2+26) and their surrounding areas. To identify the drivers for PM2.5 concentration decreases in the BTH2+26 cites from the 2016/17 heating season (HS1617) to the 2017/18 heating season (HS1718), we investigated the contributions of meteorological conditions and emission-reduction measures by Community Multi-Scale Air Quality (CMAQ) model simulations. The source apportionments of five sector sources (i.e., agriculture, industry, power plants, traffic and residential), and regional sources (i.e., local, within-BTH: other cities within the BTH2+26 cities, outside-BTH, and boundary conditions (BCON)) to the PM2.5 decreases in the BTH2+26 cities were estimated with the Integrated Source Apportionment Method (ISAM). Mean PM2.5 concentrations in the BTH2+26 cities substantially decreased from 77.4 to 152.5 mu g m(-3) in HS1617 to 52.9-101.9 mu g m(-3) in HS1718, with the numbers of heavy haze (daily PM2.5 = 150 mu g m(-3)) days decreasing from 17-77 to 5-30 days. The model simulation results indicated that the PM2.5 concentration decreases in most of the BTH2+26 cities were attributed to emission reductions (0.4-55.0 mu g m(-3), 2.3-81.6% of total), but the favorable meteorological conditions also played important roles (1.9-25.4 mu g m(-3), 18.4-97.7%). Residential sources dominated the PM2.5 reductions, leading to decreases in average PM2.5 concentrations by more than 30 mu g m-3 in severely polluted cities (i.e., Shijiazhuang, Baoding, Xingtai, and Beijing). Regional source analyses showed that both local and within-BTH sources were significant contributors to PM2.5 concentrations for most cities. Emission controls in local and within-BTH sources in HS1718 decreased the average PM2.5 concentrations by 0.1-47.2 mu g m(-3) and 0.3-22.1 mu g m(-3), respectively, relative to those in HS1617. Here we demonstrate that a combination of favorable meteorological conditions and anthropogenic emission reductions contributed to the improvement of air quality from HS1617 to HS1718 in the BTH2+26 cities. (C) 2021 Elsevier Ltd. All rights reserved.
机译:随着清洁空气策略的实施,在京津 - 河北(BTH)地区的“2 + 26”城市(称为Bth2 + 26)及其周边地区,在“2 + 26”城市中观察到PM2.5污染减少。识别PM2.5浓度的驱动因素在2016/17加热季节(HS1617)到2017/18加热季节(HS1718)中的BTH2 + 26 CITES减少(HS1718),我们调查了气象条件和减排措施的贡献社区多尺度空气质量(CMAQ)模型模拟​​。五个部门来源(即农业,工业,发电厂,交通和住宅)和区域来源的源分配(即,地方,BTH2中的其他城市,BTH2 + 26城市,外,BTH和边界条件。 (BCON))通过综合源分摊方法(ISAM)估计了BTH2 + 26城市的PM2.5。 BTH2 + 26个城市的平均PM2.5浓度在HS1718中的HS1617至52.9-101.9μm(-3)中的77.4至152.5μm(-3)显着降低,具有重度雾度的数量(每日PM2.5> = 150 mm gm(-3))日从17-77减少到5-30天。模型仿真结果表明,大多数BTH2 + 26个城市的PM2.5浓度降低归因于排放减排(0.4-55.0 mm(-3),总数的2.3-81.6%),但却是有利的气象条件发挥了重要作用(1.9-25.4 mm gm(-3),18.4-97.7%)。住宅资源占据了PM2.5的减少,导致平均PM2.5浓度在严重污染的城市(即石家庄,保定,邢台和北京)上的平均PM2.5浓度下降了30多亩。区域来源分析表明,本地和大部分内部的资源都是大多数城市PM2.5浓度的重要贡献者。 HS1718中局部和BTH源中的排放控制分别在相对于HS1617中的那些将平均PM2.5浓度降低0.1-47.2μgm(-3)和0.3-22.1μg)。在这里,我们证明了有利的气象条件和人为排放减少的组合导致了从BTH2 + 26个城市的HS1617到HS1718的空气质量的提高。 (c)2021 elestvier有限公司保留所有权利。

著录项

  • 来源
    《Environmental Pollution》 |2021年第4期|116523.1-116523.12|共12页
  • 作者单位

    Zhejiang Univ Minist Educ Key Lab Environm Remediat & Ecol Hlth Hangzhou 310058 Zhejiang Peoples R China|Zhejiang Univ Coll Environm & Resource Sci Res Ctr Air Pollut & Hlth Hangzhou 310058 Zhejiang Peoples R China;

    Zhejiang Univ Minist Educ Key Lab Environm Remediat & Ecol Hlth Hangzhou 310058 Zhejiang Peoples R China|Zhejiang Univ Coll Environm & Resource Sci Res Ctr Air Pollut & Hlth Hangzhou 310058 Zhejiang Peoples R China;

    Zhejiang Univ Minist Educ Key Lab Environm Remediat & Ecol Hlth Hangzhou 310058 Zhejiang Peoples R China|Zhejiang Univ Coll Environm & Resource Sci Res Ctr Air Pollut & Hlth Hangzhou 310058 Zhejiang Peoples R China|CALTECH Div Chem & Chem Engn Pasadena CA 91125 USA;

    Zhejiang Univ Minist Educ Key Lab Environm Remediat & Ecol Hlth Hangzhou 310058 Zhejiang Peoples R China|Zhejiang Univ Coll Environm & Resource Sci Res Ctr Air Pollut & Hlth Hangzhou 310058 Zhejiang Peoples R China;

    Zhejiang Univ Minist Educ Key Lab Environm Remediat & Ecol Hlth Hangzhou 310058 Zhejiang Peoples R China|Zhejiang Univ Coll Environm & Resource Sci Res Ctr Air Pollut & Hlth Hangzhou 310058 Zhejiang Peoples R China;

    Zhejiang Univ Minist Educ Key Lab Environm Remediat & Ecol Hlth Hangzhou 310058 Zhejiang Peoples R China|Zhejiang Univ Coll Environm & Resource Sci Res Ctr Air Pollut & Hlth Hangzhou 310058 Zhejiang Peoples R China;

    Zhejiang Univ Minist Educ Key Lab Environm Remediat & Ecol Hlth Hangzhou 310058 Zhejiang Peoples R China|Zhejiang Univ Coll Environm & Resource Sci Res Ctr Air Pollut & Hlth Hangzhou 310058 Zhejiang Peoples R China;

    Hebei Agr Univ Coll Sci & Technol Baoding 071000 Hebei Peoples R China;

    Hebrew Univ Jerusalem Inst Earth Sci Jerusalem Israel;

    CALTECH Div Chem & Chem Engn Pasadena CA 91125 USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    BTH2+26 cities; Air quality improvement; Source apportionment; Emission reduction; Meteorological contribution;

    机译:BTH2 + 26个城市;空气质量改善;来源分配;减排;气象贡献;
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